{"id":"W2112082674","doi":"10.1080/14693062.2007.9685636","title":"Coordinating future adaptation policies across Canadian natural resources","year":2007,"lang":"en","type":"article","venue":"Climate Policy","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Government (linguistics); Agriculture; Business; Adaptation (eye); Action (physics); Climate change; Public policy; Climate change adaptation; Environmental resource management; Political science; Public economics; Economic growth; Economics; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000591926,0.0001638306,0.0001290273,0.00006374036,0.0006159582,0.00008163658,0.0002691225,0.000102553,0.0003132449],"category_scores_gemma":[0.0001870135,0.0001571324,0.00005919026,0.0005845241,0.0002432185,0.0002856779,0.0001746763,0.0001801606,0.000232724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285784,"about_ca_system_score_gemma":0.00003546361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3266077,"about_ca_topic_score_gemma":0.6283793,"domain_scores_codex":[0.9980991,0.00003019345,0.0002209811,0.0002745593,0.0002429018,0.001132255],"domain_scores_gemma":[0.9993117,0.00005964633,0.0001101077,0.0002367767,0.00002132981,0.0002604422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001665593,0.0001344965,0.3434565,0.0002074617,0.00002722581,0.0001362187,0.4774736,0.001720778,0.002229029,0.01141611,0.006034123,0.1569979],"study_design_scores_gemma":[0.0002720436,0.00003871727,0.7288219,0.00001716025,0.000005110953,0.00002345067,0.1298529,0.0005333364,0.0003350851,0.0005484584,0.1392257,0.0003261145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674545,0.0001144595,0.000006292957,0.00434519,0.0002183042,0.0001487056,0.00007138035,0.00006752522,0.02757363],"genre_scores_gemma":[0.9965177,0.00006279547,0.0001441086,0.00194565,0.000675722,0.000007682429,0.00001598897,0.0000193642,0.0006110364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3853654,"threshold_uncertainty_score":0.6778765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195446509868483,"score_gpt":0.2836559379005155,"score_spread":0.2717014728018307,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}